on projects. Effective communication skills to articulate complex ideas and technical concepts to non-technical stakeholders. Desirable: Understanding of software development principles, data structures, algorithms, and design patterns. Why Join Us: Be part of an innovative, forward-thinking company that is at the forefront of cutting-edge technology. Work in more »
Work with people from across the globe Create and improve innovative products with a real world impact Responsibilities: Research, design, and implement machine learning algorithms and models to address business challenges and opportunities. Collect, preprocess, and analyze large datasets to extract meaningful insights and features. Develop and deploy scalable machine more »
real-life systems • Good knowledge of parallel computing techniques (Python multiprocessing, Apache Spark), and performance profiling and optimisation • Good understanding of data structures and algorithms • The ability to communicate complex technical concepts to those with little or no technical background in a meaningful, relevant and engaging manner Employees are required more »
degree in Computer Science, Engineering, or related field. Strong proficiency in Java programming language, with a focus on multithreading. Solid understanding of data structures, algorithms, and object-oriented design principles. Experience with low-latency, high-performance systems development. Excellent problem-solving and analytical skills. Effective communication and collaboration skills in more »
Data Science role. Significant hands-on experience developing and deploying Data Science and ML capabilities in production at scale. Deep knowledge of machine learning algorithms applied to solving business problems. Proficiency in Python and popular Data Science frameworks (e.g. pytorch, pandas, numpy etc) and MLOps platforms (e.g. Sagemaker) Solid understanding more »
research to productionExcellent problem solving and data analysis skills, with expertise in developing or applying predictive analytics, statistical modelling, data mining, or machine learning algorithms, especially at scaleStrong people leadership skills to influence others, with the ability to understand team dynamics, retain, attract, and develop team members.Grounded in growth mindset more »
Azure Cloud Stack Experience with tuning, deployment, monitoring and maintenance of models in production desired Expertise in using and implementing cutting-edge machine learning algorithms, frameworks, and libraries, such as PyTorch, Keras, Tensorflow to solve clustering, classification, regression, and optimization problems on large scale data sets Hands-on experience with more »
City of London, London, United Kingdom Hybrid / WFH Options
Adecco
integration and ETL/ELT processes. Optimise and tune data storage and retrieval processes. Collaborate with the Data Science team to implement machine learning algorithms and AI models. Ensure data quality and integrity throughout the data lifecycle. Monitor and troubleshoot data pipelines to ensure optimal performance. Stay up-to-date more »
POD style format. Responsibilities: Develop and implement quantitative models for trading equities, focusing on optimisation strategies. Collaborate with cross-functional teams to enhance trading algorithms and improve overall system performance. Utilise statistical analysis and mathematical modelling to identify trading opportunities and enhance decision-making processes. Contribute to the design and more »
field. Advanced knowledge of SQL and Python, including popular Data Science packages such as pandas, matplotlib, seaborn, numpy, and sklearn. Familiarity with machine learning algorithms and techniques, with a deep understanding of their underlying principles. Strong problem-solving skills and meticulous attention to detail. Excellent communication and collaboration abilities to more »
practice, propose improvement Point of contact with stakeholders and the NY team 8+ years of professional java experience Strong knowledge of data structures and algorithms SQL experience Knowledge of at least one scripting language (shell, python, perl etc.) Knowledge of network programming fundamentals Bachelors degree in Computer Science or STEM more »
in data analysis and interpretation Ability to apply statistical techniques to derive insights Experience with data analysis tools and software Knowledge of machine learning algorithms and methodologies Excellent problem-solving and critical thinking abilities Strong communication and presentation skills Ability to work independently and in a team Experience with programming more »
work experience, training, military experience, educationDevelopment experience.Extensive hands-on experience of building large scale Java applications is needed.Computer Science education backgroundIn-depth knowledge of algorithms and data structures.Solid background in Linux commands, Linux system calls, Linux operating system features, and low latency system tuning is desired.Solid knowledge in threading, thread more »
implementation of quantitative research models. You will work closely with quantitative analysts and researchers to implementing quantitative research frameworks in Python, including integrating models, algorithms, analytics, and research tools. This is ideally suited to someone who has strong Python development skills and a strong understanding of software engineering principles, and more »
who is at the forefront of tech innovation, collaborating with some of the world's top tech companies. They specialise in developing advanced AI algorithms to speed up the invention process for future products and services. This Lead Software Engineer position offers hybrid working (Cambridge), flexible hours for a healthy more »
and reporting. Conduct exploratory data analysis to identify trends and patterns relevant to financial performance. Support the development and implementation of data models and algorithms to optimise business processes. Work closely with cross-functional teams to understand business needs and provide data-driven insights and solutions. Requirements: Bachelor's degree more »
with an algorithmic mindset. Bonus Points for: Experience in Big Tech, SaaS, E-commerce, or Ad Networks. Knowledge of graph data structures, path-finding algorithms, and link prediction. Startup mentality and a drive to push boundaries. Familiarity with the social networking landscape. A degree in Computer Science, Data Science, Mathematics more »
machine learning, with a strong track record independent research and development a plus. Strong technical background, with expertise in a range of machine learning algorithms data science techniques. Strong experience in delivery across the lifecycle of machine learning products, adhering robust software engineering practices. Excellent communication, with the ability to more »
developers Manage your workload and deliver features independently Requirements: 3+ years of experience in Ruby development Strong problem-solving skills with data structures and algorithms knowledge Security and performance awareness Familiarity with coding standards and best practices Excellent written and verbal English communication Bonus Points: Bachelor's degree in Computer more »
and Java (both preferred) for data processing and modelling tasks, with a strong emphasis on Java and EMR. Implement and optimise data models and algorithms to extract valuable insights from large datasets. Utilise AWS services, including EMR, Glue, and Iceberg, for data storage, processing, and ingestion. Ensure data quality and more »
Linux OS/Systems Administration You have a good understanding of computer architecture, databases, real-time systems, distributed computing, OOP, Data Structures, Design Patterns, Algorithms You're collaborative with excellent English language communication skills You are degree educated, likely to MSc/PhD level - Computer Science or similar discipline Salary more »
The ideal candidate will have extensive experience in financial markets or high-frequency trading, with a proven track record of developing, implementing, and improving algorithms for execution. Responsibilities: Develop and improve our proprietary algorithmic execution infrastructure. Architect and optimize low-latency, event-driven trading systems. Create and validate our in more »
including Azure Open AI Service, Azure Cognitive Services, and Azure Machine Learning. Familiarity with Azure Databricks is a plus. Solid background in machine learning algorithms, data pre-processing, feature engineering, and model evaluation. Experience with deep learning frameworks like TensorFlow or PyTorch is desirable. Proficiency in handling large datasets, experience more »
Linux, Windows, iOS, Android), and modern UI frameworks (Backbone.js, AngularJS, React, Ember.js, Bootstrap, and JQuery). Creating everything from mockups and UI components to algorithms and data structures as you deliver a viable product. Required Technical and Professional Expertise Developing specific integration services (APIs, event-based integration, Azure Integration services more »
to develop and apply complex mathematical models to real-world financial market scenarios. Responsibilities Develop, implement, and maintain sophisticated quantitative trading models, strategies, and algorithms, ensuring their efficacy and alignment with the fund's objectives. Collaborate with the trading and AI teams to integrate quantitative models into the trading system more »
